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38 changes: 38 additions & 0 deletions tests/test_diff_motion_detector/test.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,3 +13,41 @@ def test_set_background_successfully(self):
background_image = cv2.imread('background.jpg')
detector.setBackground(background_image)
assert detector.getBackground() is not None

# Tests that a binary image is returned successfully after the detection process
def test_return_binary_image_successfully(self):
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Combine the tests test_return_binary_image_successfully and test_set_background_and_return_binary_image_successfully to optimize test execution and avoid redundancy. You can check both conditions in a single test since they are closely related. [important]

detector = DiffMotionDetector()
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Consider refactoring the repeated setup code for initializing detector, background_image, and foreground_image into a separate setup method. This will make the tests cleaner and reduce redundancy. [important]

background_image = cv2.imread('background.jpg')
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Consider optimizing the image loading in tests by loading the images once and reusing them, instead of loading them in each test. This will reduce the I/O operations and make the tests run faster. [important]

foreground_image = cv2.imread('foreground.jpg')
detector.setBackground(background_image)
binary_image = detector.returnMask(foreground_image)
assert binary_image is not None
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Consider adding assertions to check the actual content of the binary image, not just its existence. This would ensure that the binary image is correctly processed and meets expected conditions. [important]


# Tests that a background image is set and a binary image is returned successfully after the detection process
def test_set_background_and_return_binary_image_successfully(self):
detector = DiffMotionDetector()
background_image = cv2.imread('background.jpg')
foreground_image = cv2.imread('foreground.jpg')
detector.setBackground(background_image)
binary_image = detector.returnMask(foreground_image)
assert detector.getBackground() is not None and binary_image is not None
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It might be beneficial to add a cleanup step in your tests to release resources or reset the detector state after each test. This can prevent state leakage between tests and ensure that each test runs in a clean state. [medium]


# Tests that setting a None background image returns None
def test_set_none_background_image_and_return_none(self):
detector = DiffMotionDetector()
detector.setBackground(None)
assert detector.getBackground() is None

# Tests that setting a None foreground image returns None
def test_set_none_foreground_image_and_return_none(self):
detector = DiffMotionDetector()
background_image = cv2.imread('background.jpg')
detector.setBackground(background_image)
binary_image = detector.returnMask(None)
assert binary_image is None

# Tests that setting a None background image returns None after the detection process
def test_set_none_background_image_and_return_none_after_detection_process(self):
detector = DiffMotionDetector()
detector.setBackground(None)
assert detector.getBackground() is None